GT62M Series Number Plates
UK vehicles registered in Canterbury, Kent during September 2012 to February 2013 with registration prefix GT62M.
- Area Office
- Canterbury (Canterbury, Kent)
- Release Period
- September 2012 to February 2013
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84.6%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in GT62M Series(7 of 7 displayed)
MASERATI GRANTURISMO
4.7L · Petrol · Grey
- First Used
- Jan 2013
- MOT Expiry
- 27 Nov 2026
- Tax Status
- —
- Color
- Grey
HYUNDAI TUCSON N LINE S T-GDI HEV AUTO
Hybrid Electric (Clean) · White
- First Used
- Sep 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
BMW X3
2.0L · Petrol · Black
- First Used
- Jun 2019
- MOT Expiry
- 14 Jul 2027
- Tax Status
- —
- Color
- Black
BMW 5 SERIES
2.0L · Diesel · Grey
- First Used
- Dec 2012
- MOT Expiry
- 25 May 2027
- Tax Status
- —
- Color
- Grey
MCLAREN GT V8 S-A
4.0L · Petrol · Orange
- First Used
- Apr 2022
- MOT Expiry
- 21 Jul 2026
- Tax Status
- —
- Color
- Orange
RENAULT MEGANE
1.6L · Diesel · White
- First Used
- Sep 2012
- MOT Expiry
- 26 Oct 2025
- Tax Status
- —
- Color
- White
PORSCHE 911
3.8L · Petrol · White
- First Used
- Jan 2015
- MOT Expiry
- 02 Feb 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for GT62M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about GT62M Plates
Where was the GT62M number plate series registered?
Vehicles starting with GT62M were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GT) identify the memory tag assigned by the DVLA.
What registration period is GT62M?
The GT62M age identifier corresponds to vehicles first registered between September 2012 to February 2013.
How can I check the MOT history of a GT62M vehicle?
Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.